
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Data Scientist (Python / PySpark) – Contract
Contract: 2 Months (September – November)
About the Role
We are looking for an experienced Data Scientist to join a high-profile programme delivering innovative digital products within a large-scale data platform.
Working as part of a multidisciplinary team, you will focus on designing and developing data science solutions that support new product development. You'll collaborate closely with engineering, design and product teams to build scalable analytics pipelines and help translate data science models into production-ready solutions.
Key Responsibilities
- Design and develop scalable analytics and data pipelines.
- Build and optimise data science solutions using Python and PySpark.
- Collaborate with engineering, product and design teams throughout the product lifecycle.
- Support product discovery activities by identifying data opportunities and analytical approaches.
- Translate analytical models and business requirements into solutions for development teams.
- Work within an agile, cross-functional delivery environment.
- Contribute to the successful delivery of digital products from concept through to implementation.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Essential Skills & Experience
- Strong commercial experience as a Data Scientist.
- Excellent Python programming skills.
- Hands-on experience with PySpark (essential).
- Experience designing and developing data pipelines.
- Strong SQL and data manipulation skills.
- Experience working with large and complex datasets.
- Ability to work collaboratively within multidisciplinary teams.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Desirable Skills
- Experience with Databricks or Apache Spark.
- Experience within healthcare, population health management, workforce planning or supply chain analytics.
- Experience supporting dashboard migration or modernisation projects.
- Experience working within cloud platforms such as Azure, AWS or GCP.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location